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Bayesian quantile regression using the skew exponential power distribution

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Oct 2018 Italy English Publisher:Elsevier BVJournal:Computational Statistics & Data Analysis, volume 126, pages 92-111 (issn: 0167-9473, Copyright policy )
Authors: Mauro Bernardi; Marco Bottone; Lea Petrella;

doi: 10.1016/j.csda.2018.04.008

handle: 11577/3289207 , 11573/1016375 , 11573/1114419

Bayesian quantile regression using the skew exponential power distribution

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Country
Italy
Related Organizations
Keywords

Asymmetric Laplace distribution; Bayesian quantile regression; Lasso; MCMC; Skew exponential power distribution; Statistics and Probability; Computational Mathematics; Computational Theory and Mathematics; Applied Mathematics, MCMC, Bayesian quantile regression;Skew ExponentialPower; Additive Model, Bayesian inference, Skew exponential power distribution; Asymmetric Laplace distribution; Lasso; MCMC, Nonparametric regression and quantile regression, Lasso, Computational methods for problems pertaining to statistics, skew exponential power distribution, asymmetric Laplace distribution, Bayesian quantile regression

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 25
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Top 10%
Top 10%
Top 10%
Green
hybrid